US7952490B2 - Method for identifying the activation of the brake lights of preceding vehicles - Google Patents
Method for identifying the activation of the brake lights of preceding vehicles Download PDFInfo
- Publication number
- US7952490B2 US7952490B2 US11/884,911 US88491106A US7952490B2 US 7952490 B2 US7952490 B2 US 7952490B2 US 88491106 A US88491106 A US 88491106A US 7952490 B2 US7952490 B2 US 7952490B2
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- United States
- Prior art keywords
- vehicle
- brake lights
- activation
- image
- brightness
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- Expired - Fee Related, expires
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/16—Anti-collision systems
- G08G1/161—Decentralised systems, e.g. inter-vehicle communication
- G08G1/163—Decentralised systems, e.g. inter-vehicle communication involving continuous checking
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/20—Image preprocessing
- G06V10/255—Detecting or recognising potential candidate objects based on visual cues, e.g. shapes
Definitions
- the invention relates to a method for detecting the activation of brake lights of vehicles driving in front, in which a vehicle driving in front is recorded with an image sensor, and a signal is issued when it is detected that the brake lights light up, which can be converted in a warning device and/or in a vehicle assistance system.
- the object of the invention is to provide a method for also rapidly and cost-effectively detecting the activation of brake lights of vehicles which are driving in front which do not emit an additional or a modulated signal during the braking procedure.
- This object is attained by means of a method for detecting the activation of brake lights of vehicles driving in front, whereby an image sensor or an image sensor system is aligned to a point in front of the vehicle and camera images are fed into a memory.
- a vehicle driving in front is identified by means of a pattern recognition method on the image, and in addition, following the detection of the vehicle, image areas are determined which contain the position of the brake lights to a high degree of probability, and a differential image is formed from two images which are recorded offset from each other in time, and when changes in brightness occur in relevant image areas, an activation of the brake lights is detected.
- An image sensor or an image sensor system which is aligned to a point in front of the vehicle, whereby the images are fed into a memory.
- the image recorded is checked for the presence of a vehicle driving in front, using a pattern recognition method. If a vehicle is identified, relevant image areas are identified according to a previously specified method, which contain to a high degree of probability the positions of the brake lights.
- a differential image is created from two images which are offset from each other in time, in which images are subtracted from each other which have been recorded at a suitable distance in time which is based on the “lighting duration” of the brake light.
- the relevant image areas are analysed for changes in brightness which are typical for a switching-on procedure of a light. If this change in brightness is greater than a specified threshold value, an activation of the brake light of the vehicle driving in front is detected.
- an operation of the brake lights is preferably detected with a specified repetition frequency.
- flashing brake lights are clearly detected via their specified frequency or their specified frequency range.
- the number of images selected per time unit is adjusted to the anticipated frequency or anticipated frequency range of the flashing brake light.
- the value of the repetition frequency can e.g. be determined by means of a local frequency analysis or from the image data on the basis of a differential image analysis.
- an additional sensor can be provided in the vehicle, which supports the identification of a vehicle driving in front.
- the optional sensor can be a device for measuring the distance and/or the speed, and this measuring data is taken into account when deciding whether to issue a warning signal.
- FIG. 1 shows a block diagram
- FIG. 2 shows a method for detecting the activation of brake lights of vehicles driving in front.
- FIG. 1 explains the sequence of the method in a block diagram.
- images are recorded in series by an image sensor.
- an image sensor for example, the use of a CCD camera for recording red and/or infrared rays is advantageous.
- the images are stored temporarily in an image processing unit, and a vehicle driving in front is segmented in the camera image using edge extraction or other pattern recognition methods such as template matching.
- an additional sensor can also be used as a support, which records a vehicle driving in front, the target message of which is projected into the image, and which specifies the region which contains the vehicle.
- This can be a radar or a lidar sensor, for example.
- FIG. 2 Starting from a box which surrounds the vehicle (bounding box), which is shown in the upper left hand corner of FIG. 2 , two symmetrical regions are determined in which the brake lights are assumed to be present. These relevant regions are shown in the bottom left-hand corner of FIG. 2 . Images are recorded in series with a time difference of 80 ms. Using a differential image analysis, in which images are subtracted from each other, which have been recorded at an appropriate distance in time based on the “lighting duration” of the brake light, a search is made for chronological, large-scale changes in brightness. The differential image is created by subtracting the last image from the current image. FIG.
- FIG. 2 initially shows in the upper left-hand corner a vehicle without activated brake lights; in the image which has next been recorded 80 ms later, and which is shown in the upper right-hand corner, the brake lights are by contrast visibly activated.
- the differential image of the two images is shown in the lower left-hand corner of FIG. 2 ; the two bright points can clearly be seen in the relevant image regions.
- a simple threshold value operation is used on the intensities of the differential image. Closely adjacent pixels of high intensity are combined to form an object. Objects are then filtered which have circular properties, e.g. on the basis of the check of the relationship between the circumference and the area.
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- Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Multimedia (AREA)
- Theoretical Computer Science (AREA)
- Traffic Control Systems (AREA)
- Lighting Device Outwards From Vehicle And Optical Signal (AREA)
Abstract
Description
Claims (8)
Applications Claiming Priority (7)
Application Number | Priority Date | Filing Date | Title |
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DE102005007946 | 2005-02-22 | ||
DE102005007946.6 | 2005-02-22 | ||
DE102005007946 | 2005-02-22 | ||
DE102005052469 | 2005-11-03 | ||
DE102005052469.9 | 2005-11-03 | ||
DE102005052469 | 2005-11-03 | ||
PCT/DE2006/000092 WO2006089498A1 (en) | 2005-02-22 | 2006-01-21 | Method for identifying the activation of the brake lights of preceding vehicles |
Publications (2)
Publication Number | Publication Date |
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US20080165028A1 US20080165028A1 (en) | 2008-07-10 |
US7952490B2 true US7952490B2 (en) | 2011-05-31 |
Family
ID=36463463
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
US11/884,911 Expired - Fee Related US7952490B2 (en) | 2005-02-22 | 2006-01-21 | Method for identifying the activation of the brake lights of preceding vehicles |
Country Status (5)
Country | Link |
---|---|
US (1) | US7952490B2 (en) |
EP (1) | EP1851681B1 (en) |
AT (1) | ATE477549T1 (en) |
DE (1) | DE502006007631D1 (en) |
WO (1) | WO2006089498A1 (en) |
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US20150120160A1 (en) * | 2011-12-09 | 2015-04-30 | Robert Bosch Gmbh | Method and device for detecting a braking situation |
US9327693B2 (en) | 2013-04-10 | 2016-05-03 | Magna Electronics Inc. | Rear collision avoidance system for vehicle |
US9481301B2 (en) | 2012-12-05 | 2016-11-01 | Magna Electronics Inc. | Vehicle vision system utilizing camera synchronization |
US9547795B2 (en) | 2011-04-25 | 2017-01-17 | Magna Electronics Inc. | Image processing method for detecting objects using relative motion |
US9619716B2 (en) | 2013-08-12 | 2017-04-11 | Magna Electronics Inc. | Vehicle vision system with image classification |
US9623878B2 (en) | 2014-04-02 | 2017-04-18 | Magna Electronics Inc. | Personalized driver assistance system for vehicle |
US9681062B2 (en) | 2011-09-26 | 2017-06-13 | Magna Electronics Inc. | Vehicle camera image quality improvement in poor visibility conditions by contrast amplification |
US9743002B2 (en) | 2012-11-19 | 2017-08-22 | Magna Electronics Inc. | Vehicle vision system with enhanced display functions |
US9751465B2 (en) | 2012-04-16 | 2017-09-05 | Magna Electronics Inc. | Vehicle vision system with reduced image color data processing by use of dithering |
US9900490B2 (en) | 2011-09-21 | 2018-02-20 | Magna Electronics Inc. | Vehicle vision system using image data transmission and power supply via a coaxial cable |
US9925980B2 (en) | 2014-09-17 | 2018-03-27 | Magna Electronics Inc. | Vehicle collision avoidance system with enhanced pedestrian avoidance |
US9988047B2 (en) | 2013-12-12 | 2018-06-05 | Magna Electronics Inc. | Vehicle control system with traffic driving control |
US10025994B2 (en) | 2012-12-04 | 2018-07-17 | Magna Electronics Inc. | Vehicle vision system utilizing corner detection |
US10027930B2 (en) | 2013-03-29 | 2018-07-17 | Magna Electronics Inc. | Spectral filtering for vehicular driver assistance systems |
US10089537B2 (en) | 2012-05-18 | 2018-10-02 | Magna Electronics Inc. | Vehicle vision system with front and rear camera integration |
US10133938B2 (en) | 2015-09-18 | 2018-11-20 | Samsung Electronics Co., Ltd. | Apparatus and method for object recognition and for training object recognition model |
US10144419B2 (en) | 2015-11-23 | 2018-12-04 | Magna Electronics Inc. | Vehicle dynamic control system for emergency handling |
US10232797B2 (en) | 2013-04-29 | 2019-03-19 | Magna Electronics Inc. | Rear vision system for vehicle with dual purpose signal lines |
US10286855B2 (en) | 2015-03-23 | 2019-05-14 | Magna Electronics Inc. | Vehicle vision system with video compression |
US10326969B2 (en) | 2013-08-12 | 2019-06-18 | Magna Electronics Inc. | Vehicle vision system with reduction of temporal noise in images |
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US10567705B2 (en) | 2013-06-10 | 2020-02-18 | Magna Electronics Inc. | Coaxial cable with bidirectional data transmission |
US10609335B2 (en) | 2012-03-23 | 2020-03-31 | Magna Electronics Inc. | Vehicle vision system with accelerated object confirmation |
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US12115915B2 (en) | 2015-12-17 | 2024-10-15 | Magna Electronics Inc. | Vehicle vision system with electrical noise filtering circuitry |
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DE102006055903A1 (en) | 2006-11-27 | 2008-05-29 | Adc Automotive Distance Control Systems Gmbh | Detection of vehicle lights with a camera |
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DE102008025804A1 (en) * | 2008-05-29 | 2009-12-03 | Hella Kgaa Hueck & Co. | Method for identifying vehicle traveling in front, particularly truck, involves identifying outside positions of tail lamps, and forming threshold value for separating overexposing pixel from background |
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DE102011102512A1 (en) | 2011-05-26 | 2012-11-29 | Conti Temic Microelectronic Gmbh | Method for deriving surroundings information from the detection of rear lights of vehicles in front |
US9164511B1 (en) * | 2013-04-17 | 2015-10-20 | Google Inc. | Use of detected objects for image processing |
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DE102015213078A1 (en) * | 2015-07-13 | 2017-01-19 | Conti Temic Microelectronic Gmbh | Brake light detection for vehicles in front to adapt an activation of active safety mechanisms |
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US10387736B2 (en) * | 2017-09-20 | 2019-08-20 | TuSimple | System and method for detecting taillight signals of a vehicle |
US10691962B2 (en) * | 2017-09-22 | 2020-06-23 | Toyota Motor Engineering & Manufacturing North America, Inc. | Systems and methods for rear signal identification using machine learning |
US10732640B2 (en) * | 2018-04-13 | 2020-08-04 | Blackberry Limited | System and method for preforming differential analysis of vehicles |
US11148670B2 (en) * | 2019-03-15 | 2021-10-19 | Honda Motor Co., Ltd. | System and method for identifying a type of vehicle occupant based on locations of a portable device |
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Also Published As
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US20080165028A1 (en) | 2008-07-10 |
EP1851681B1 (en) | 2010-08-11 |
DE502006007631D1 (en) | 2010-09-23 |
WO2006089498A1 (en) | 2006-08-31 |
EP1851681A1 (en) | 2007-11-07 |
ATE477549T1 (en) | 2010-08-15 |
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